Our insights into artificial intelligence

In this blog, I want to give you some do’s and don’ts pointers when it comes to code optimization. In addition, I explain how you can identify possible optimizations in your code, and how to optimize.

The Brainhouse project's purpose was to put together a diverse squad of interns who would work on a case with social impact. This time, we tackled a case for ALS Liga.

'Next-level drive and dive' is typical for project manager Nelleke Doyen. She puts her talent for 'bringing gusto' in projects to good use in her work, where she brings her passion for innovative technology, AI, and people to life. Read her story.

After studying veterinary medicine in Portugal and kite surfing in the Philippines, Leonor Drummond retrained as a data scientist in artificial intelligence in Belgium. Her story consists mainly of learning a lot, preferably as fast as possible. Read here how Leonor found her place at Brainjar after an intensive agile journey, or rather, race.

A passion for AI and Big Data, that's what everyone in the audience shared on the evening of 10/5. Emilie Nenquin (VRT) and Nele Gerrits (VITO) inspired us with different AI use cases in our headquarters. Afterward, Clusity organized a warm networking session.

For a jewelry webshop, we built an AI-driven image search function based on similarity embedding to simplify the classification of jewels together.

In this blog, we talk about how we generated handwritten text with an AI model in order to train another model to extract handwritten text. A hard nut to crack, but we'll show you how we solved this problem.

A story about my time at Brainjar as an intern, where I work on CSI-style image enhance AI including super-resolution, colorizing and denoising.

During my twelve-week-long internship at Brainjar, I created a deep learning model that can perform eye tracking using webcam images. In this blog, I’ll explain how I went to work.

While looking for a possible internship, one immediately got my attention. Building a ‘face animation tool’. I couldn’t let this opportunity slip by. The goal of this internship was to start from a face, and making the mouth move when given an audio sample.

Tired of processing thousands of documents manually? Check out our new AI platform, Klassif.ai, and process documents at a faster pace. In short: manual labour, done artificially!

This summer, Brainjar offered me the internship of a lifetime: classifying Dutch Sign Language videos. I had an absolute blast trying to tame this beast.

Turning Leuven into an accessible and traffic-safe city.

Some time ago, we were invited for a meeting with a chemicals group with an interest in AI. We built a tool that uses AI to evaluate presentations.

A quick and dirty comparison between the new Google Coral Edge TPU and NVIDIA Jetson Nano with a little deep dive into their own characteristics, hardware configurations and what makes them different.

Cloud Functions: A simple approach to building an event driven system

OpenPose represents the first real-time multi-person system to jointly detect human body, hand, facial, and foot keypoints on single images.

Recently, Sam Sterckval joined Brainjar as an AI intern. By combining his background in electrical engineering with his passion for artificial intelligence, he is ready to tackle some intersting AI projects!

During our masterclass "cognitive RPA" we demonstrate the possibilities of combining artificial intelligence (AI) and robotic process automation (RPA).

20 december we introduced the Raccoons group to the public. Raccoons is the innovation group containing ventures such as Craftworkz, Oswald, Brainjar & Wheelhouse.

A few months ago we made a style transfer application to demo the capabilities of the Genius supercomputer cluster. And now we got our hands on a PowerAI which IBM generously loaned to us for a couple of months to use. Time to see how it stacks up against Genius in painting!

OpenAI Gym is a cool platform for anybody involved with reinforcement learning algorithms

Some time ago we got word that KU Leuven ICTS was looking for an application to demo the AI capabilities of their new GPU supercomputer called Genius. And who better to build such an application than the newly minted Deep Learning division of an AI prototyping company?